| Best model | name | model_type | metric_type | metric_value | train_time | single_prediction_time |
|---|---|---|---|---|---|---|
| 1_Linear | Linear | auc | 0.974028 | 39.39 | 0.0305 | |
| 2_Default_LightGBM | LightGBM | auc | 0.979291 | 28.3 | 0.0166 | |
| 3_Default_Xgboost | Xgboost | auc | 0.973694 | 27.25 | 0.0522 | |
| 4_Default_CatBoost | CatBoost | auc | 0.985145 | 29.47 | 0.032 | |
| 5_Default_NeuralNetwork | Neural Network | auc | 0.969814 | 25.24 | 0.0436 | |
| 6_Default_RandomForest | Random Forest | auc | 0.973103 | 34.72 | 0.4096 | |
| 11_LightGBM | LightGBM | auc | 0.980817 | 27.84 | 0.0151 | |
| 7_Xgboost | Xgboost | auc | 0.977909 | 34.37 | 0.0211 | |
| 15_CatBoost | CatBoost | auc | 0.988635 | 28.05 | 0.0286 | |
| 19_RandomForest | Random Forest | auc | 0.984726 | 33.73 | 0.2163 | |
| 23_NeuralNetwork | Neural Network | auc | 0.976917 | 24.98 | 0.0343 | |
| 12_LightGBM | LightGBM | auc | 0.97603 | 30.46 | 0.0146 | |
| 8_Xgboost | Xgboost | auc | 0.974095 | 28.99 | 0.0154 | |
| 16_CatBoost | CatBoost | auc | 0.981064 | 27.86 | 0.024 | |
| 20_RandomForest | Random Forest | auc | 0.980073 | 33.44 | 0.1226 | |
| 24_NeuralNetwork | Neural Network | auc | 0.974066 | 30.74 | 0.0395 | |
| 13_LightGBM | LightGBM | auc | 0.981694 | 34.59 | 0.0144 | |
| 9_Xgboost | Xgboost | auc | 0.92502 | 26.99 | 0.0215 | |
| 17_CatBoost | CatBoost | auc | 0.977537 | 25.68 | 0.0187 | |
| 21_RandomForest | Random Forest | auc | 0.963807 | 32.83 | 0.147 | |
| 25_NeuralNetwork | Neural Network | auc | 0.966877 | 28.99 | 0.0331 | |
| 14_LightGBM | LightGBM | auc | 0.978757 | 30.05 | 0.0191 | |
| 10_Xgboost | Xgboost | auc | 0.500868 | 29.36 | 0.0173 | |
| 18_CatBoost | CatBoost | auc | 0.985651 | 41.41 | 0.024 | |
| 22_RandomForest | Random Forest | auc | 0.969623 | 35.12 | 0.2364 | |
| 26_NeuralNetwork | Neural Network | auc | 0.979119 | 25.98 | 0.0387 | |
| 15_CatBoost_GoldenFeatures | CatBoost | auc | 0.986785 | 34.02 | 0.0374 | |
| 18_CatBoost_GoldenFeatures | CatBoost | auc | 0.985174 | 31.45 | 0.0385 | |
| 4_Default_CatBoost_GoldenFeatures | CatBoost | auc | 0.986251 | 32 | 0.0494 | |
| 27_CatBoost | CatBoost | auc | 0.978795 | 34.5 | 0.0844 | |
| 28_CatBoost | CatBoost | auc | 0.989007 | 29.75 | 0.0192 | |
| 29_CatBoost_GoldenFeatures | CatBoost | auc | 0.981675 | 26.7 | 0.0404 | |
| 30_CatBoost_GoldenFeatures | CatBoost | auc | 0.986966 | 26.06 | 0.037 | |
| 31_RandomForest | Random Forest | auc | 0.983591 | 27.86 | 0.175 | |
| 32_RandomForest | Random Forest | auc | 0.98014 | 29.42 | 0.1273 | |
| 33_LightGBM | LightGBM | auc | 0.982275 | 25.12 | 0.0123 | |
| 34_LightGBM | LightGBM | auc | 0.982628 | 25.38 | 0.011 | |
| 35_LightGBM | LightGBM | auc | 0.981865 | 25.48 | 0.0112 | |
| 36_LightGBM | LightGBM | auc | 0.980979 | 25.31 | 0.0144 | |
| 37_RandomForest | Random Forest | auc | 0.983944 | 29.01 | 0.1524 | |
| 38_RandomForest | Random Forest | auc | 0.97604 | 28.58 | 0.131 | |
| 39_NeuralNetwork | Neural Network | auc | 0.973742 | 24.81 | 0.0278 | |
| 40_NeuralNetwork | Neural Network | auc | 0.974829 | 25.08 | 0.0307 | |
| 41_Xgboost | Xgboost | auc | 0.977212 | 25.37 | 0.0142 | |
| 42_Xgboost | Xgboost | auc | 0.982113 | 25.04 | 0.0125 | |
| 43_NeuralNetwork | Neural Network | auc | 0.982418 | 25.26 | 0.0337 | |
| 44_CatBoost | CatBoost | auc | 0.980674 | 25.63 | 0.0148 | |
| 45_CatBoost | CatBoost | auc | 0.989035 | 26.76 | 0.0188 | |
| 46_CatBoost | CatBoost | auc | 0.977537 | 28.33 | 0.016 | |
| 47_CatBoost | CatBoost | auc | 0.986251 | 27.24 | 0.0216 | |
| 48_RandomForest | Random Forest | auc | 0.983372 | 30.78 | 0.1675 | |
| the best | Ensemble | Ensemble | auc | 0.992048 | 7.78 | 0.1767 |
auc
28.4 seconds
| score | threshold | |
|---|---|---|
| logloss | 0.693206 | nan |
| auc | 0.500868 | nan |
| f1 | 0.666667 | 0.452935 |
| accuracy | 0.502183 | 0.505075 |
| precision | 0.501818 | 0.505075 |
| recall | 1 | 0.452935 |
| mcc | 0.00445767 | 0.505075 |
| score | threshold | |
|---|---|---|
| logloss | 0.693206 | nan |
| auc | 0.500868 | nan |
| f1 | 0.547619 | 0.505075 |
| accuracy | 0.502183 | 0.505075 |
| precision | 0.501818 | 0.505075 |
| recall | 0.60262 | 0.505075 |
| mcc | 0.00445767 | 0.505075 |
| Predicted as 0 | Predicted as 1 | |
|---|---|---|
| Labeled as 0 | 92 | 137 |
| Labeled as 1 | 91 | 138 |
auc
27.0 seconds
| score | threshold | |
|---|---|---|
| logloss | 0.200862 | nan |
| auc | 0.980817 | nan |
| f1 | 0.955556 | 0.556621 |
| accuracy | 0.956332 | 0.556621 |
| precision | 1 | 0.928601 |
| recall | 1 | 0.00397278 |
| mcc | 0.913221 | 0.556621 |
| score | threshold | |
|---|---|---|
| logloss | 0.200862 | nan |
| auc | 0.980817 | nan |
| f1 | 0.955556 | 0.556621 |
| accuracy | 0.956332 | 0.556621 |
| precision | 0.972851 | 0.556621 |
| recall | 0.938865 | 0.556621 |
| mcc | 0.913221 | 0.556621 |
| Predicted as 0 | Predicted as 1 | |
|---|---|---|
| Labeled as 0 | 223 | 6 |
| Labeled as 1 | 14 | 215 |
auc
29.4 seconds
| score | threshold | |
|---|---|---|
| logloss | 0.196503 | nan |
| auc | 0.97603 | nan |
| f1 | 0.955947 | 0.597856 |
| accuracy | 0.956332 | 0.597856 |
| precision | 0.992701 | 0.99474 |
| recall | 1 | 3.20726e-08 |
| mcc | 0.913221 | 0.734665 |
| score | threshold | |
|---|---|---|
| logloss | 0.196503 | nan |
| auc | 0.97603 | nan |
| f1 | 0.955947 | 0.597856 |
| accuracy | 0.956332 | 0.597856 |
| precision | 0.964444 | 0.597856 |
| recall | 0.947598 | 0.597856 |
| mcc | 0.912803 | 0.597856 |
| Predicted as 0 | Predicted as 1 | |
|---|---|---|
| Labeled as 0 | 221 | 8 |
| Labeled as 1 | 12 | 217 |
auc
33.4 seconds
| score | threshold | |
|---|---|---|
| logloss | 0.1889 | nan |
| auc | 0.981694 | nan |
| f1 | 0.958785 | 0.452312 |
| accuracy | 0.958515 | 0.452312 |
| precision | 1 | 0.927225 |
| recall | 1 | 2.76086e-05 |
| mcc | 0.917109 | 0.452312 |
| score | threshold | |
|---|---|---|
| logloss | 0.1889 | nan |
| auc | 0.981694 | nan |
| f1 | 0.958785 | 0.452312 |
| accuracy | 0.958515 | 0.452312 |
| precision | 0.952586 | 0.452312 |
| recall | 0.965066 | 0.452312 |
| mcc | 0.917109 | 0.452312 |
| Predicted as 0 | Predicted as 1 | |
|---|---|---|
| Labeled as 0 | 218 | 11 |
| Labeled as 1 | 8 | 221 |
auc
29.1 seconds
| score | threshold | |
|---|---|---|
| logloss | 0.160448 | nan |
| auc | 0.978757 | nan |
| f1 | 0.964758 | 0.523377 |
| accuracy | 0.965066 | 0.523377 |
| precision | 1 | 0.986192 |
| recall | 1 | 0.00049015 |
| mcc | 0.930273 | 0.523377 |
| score | threshold | |
|---|---|---|
| logloss | 0.160448 | nan |
| auc | 0.978757 | nan |
| f1 | 0.964758 | 0.523377 |
| accuracy | 0.965066 | 0.523377 |
| precision | 0.973333 | 0.523377 |
| recall | 0.956332 | 0.523377 |
| mcc | 0.930273 | 0.523377 |
| Predicted as 0 | Predicted as 1 | |
|---|---|---|
| Labeled as 0 | 223 | 6 |
| Labeled as 1 | 10 | 219 |
auc
27.3 seconds
| score | threshold | |
|---|---|---|
| logloss | 0.193329 | nan |
| auc | 0.988635 | nan |
| f1 | 0.965368 | 0.293846 |
| accuracy | 0.965066 | 0.293846 |
| precision | 1 | 0.816171 |
| recall | 1 | 0.0198913 |
| mcc | 0.930273 | 0.293846 |
| score | threshold | |
|---|---|---|
| logloss | 0.193329 | nan |
| auc | 0.988635 | nan |
| f1 | 0.965368 | 0.293846 |
| accuracy | 0.965066 | 0.293846 |
| precision | 0.957082 | 0.293846 |
| recall | 0.973799 | 0.293846 |
| mcc | 0.930273 | 0.293846 |
| Predicted as 0 | Predicted as 1 | |
|---|---|---|
| Labeled as 0 | 219 | 10 |
| Labeled as 1 | 6 | 223 |
auc
33.2 seconds
| score | threshold | |
|---|---|---|
| logloss | 0.175616 | nan |
| auc | 0.986785 | nan |
| f1 | 0.961039 | 0.334079 |
| accuracy | 0.960699 | 0.334079 |
| precision | 1 | 0.80993 |
| recall | 1 | 0.00460704 |
| mcc | 0.921538 | 0.334079 |
| score | threshold | |
|---|---|---|
| logloss | 0.175616 | nan |
| auc | 0.986785 | nan |
| f1 | 0.961039 | 0.334079 |
| accuracy | 0.960699 | 0.334079 |
| precision | 0.95279 | 0.334079 |
| recall | 0.969432 | 0.334079 |
| mcc | 0.921538 | 0.334079 |
| Predicted as 0 | Predicted as 1 | |
|---|---|---|
| Labeled as 0 | 218 | 11 |
| Labeled as 1 | 7 | 222 |
auc
26.8 seconds
| score | threshold | |
|---|---|---|
| logloss | 0.275119 | nan |
| auc | 0.981064 | nan |
| f1 | 0.955947 | 0.458986 |
| accuracy | 0.956332 | 0.458986 |
| precision | 1 | 0.694066 |
| recall | 1 | 0.0120018 |
| mcc | 0.913919 | 0.509014 |
| score | threshold | |
|---|---|---|
| logloss | 0.275119 | nan |
| auc | 0.981064 | nan |
| f1 | 0.955947 | 0.458986 |
| accuracy | 0.956332 | 0.458986 |
| precision | 0.964444 | 0.458986 |
| recall | 0.947598 | 0.458986 |
| mcc | 0.912803 | 0.458986 |
| Predicted as 0 | Predicted as 1 | |
|---|---|---|
| Labeled as 0 | 221 | 8 |
| Labeled as 1 | 12 | 217 |
auc
24.8 seconds
| score | threshold | |
|---|---|---|
| logloss | 0.235786 | nan |
| auc | 0.977537 | nan |
| f1 | 0.960352 | 0.482843 |
| accuracy | 0.960699 | 0.482843 |
| precision | 1 | 0.955013 |
| recall | 1 | 0.000954883 |
| mcc | 0.921538 | 0.482843 |
| score | threshold | |
|---|---|---|
| logloss | 0.235786 | nan |
| auc | 0.977537 | nan |
| f1 | 0.960352 | 0.482843 |
| accuracy | 0.960699 | 0.482843 |
| precision | 0.968889 | 0.482843 |
| recall | 0.951965 | 0.482843 |
| mcc | 0.921538 | 0.482843 |
| Predicted as 0 | Predicted as 1 | |
|---|---|---|
| Labeled as 0 | 222 | 7 |
| Labeled as 1 | 11 | 218 |
auc
40.5 seconds
| score | threshold | |
|---|---|---|
| logloss | 0.180536 | nan |
| auc | 0.985651 | nan |
| f1 | 0.964758 | 0.451991 |
| accuracy | 0.965066 | 0.451991 |
| precision | 1 | 0.899215 |
| recall | 1 | 0.000418861 |
| mcc | 0.930273 | 0.451991 |
| score | threshold | |
|---|---|---|
| logloss | 0.180536 | nan |
| auc | 0.985651 | nan |
| f1 | 0.964758 | 0.451991 |
| accuracy | 0.965066 | 0.451991 |
| precision | 0.973333 | 0.451991 |
| recall | 0.956332 | 0.451991 |
| mcc | 0.930273 | 0.451991 |
| Predicted as 0 | Predicted as 1 | |
|---|---|---|
| Labeled as 0 | 223 | 6 |
| Labeled as 1 | 10 | 219 |
auc
30.4 seconds
| score | threshold | |
|---|---|---|
| logloss | 0.145194 | nan |
| auc | 0.985174 | nan |
| f1 | 0.960699 | 0.271299 |
| accuracy | 0.960699 | 0.271299 |
| precision | 1 | 0.977599 |
| recall | 1 | 0.000405224 |
| mcc | 0.921397 | 0.271299 |
| score | threshold | |
|---|---|---|
| logloss | 0.145194 | nan |
| auc | 0.985174 | nan |
| f1 | 0.960699 | 0.271299 |
| accuracy | 0.960699 | 0.271299 |
| precision | 0.960699 | 0.271299 |
| recall | 0.960699 | 0.271299 |
| mcc | 0.921397 | 0.271299 |
| Predicted as 0 | Predicted as 1 | |
|---|---|---|
| Labeled as 0 | 220 | 9 |
| Labeled as 1 | 9 | 220 |
auc
33.0 seconds
| score | threshold | |
|---|---|---|
| logloss | 0.206201 | nan |
| auc | 0.984726 | nan |
| f1 | 0.955947 | 0.522409 |
| accuracy | 0.956332 | 0.522409 |
| precision | 1 | 0.85675 |
| recall | 1 | 0.0194263 |
| mcc | 0.913221 | 0.56226 |
| score | threshold | |
|---|---|---|
| logloss | 0.206201 | nan |
| auc | 0.984726 | nan |
| f1 | 0.955947 | 0.522409 |
| accuracy | 0.956332 | 0.522409 |
| precision | 0.964444 | 0.522409 |
| recall | 0.947598 | 0.522409 |
| mcc | 0.912803 | 0.522409 |
| Predicted as 0 | Predicted as 1 | |
|---|---|---|
| Labeled as 0 | 221 | 8 |
| Labeled as 1 | 12 | 217 |
auc
38.2 seconds
| score | threshold | |
|---|---|---|
| logloss | 0.192042 | nan |
| auc | 0.974028 | nan |
| f1 | 0.941176 | 0.538017 |
| accuracy | 0.943231 | 0.538017 |
| precision | 1 | 0.88594 |
| recall | 1 | 0.00697453 |
| mcc | 0.888635 | 0.538017 |
| score | threshold | |
|---|---|---|
| logloss | 0.192042 | nan |
| auc | 0.974028 | nan |
| f1 | 0.941176 | 0.538017 |
| accuracy | 0.943231 | 0.538017 |
| precision | 0.976526 | 0.538017 |
| recall | 0.908297 | 0.538017 |
| mcc | 0.888635 | 0.538017 |
| Predicted as 0 | Predicted as 1 | |
|---|---|---|
| Labeled as 0 | 224 | 5 |
| Labeled as 1 | 21 | 208 |
| feature | Learner_1 | Learner_2 | Learner_3 | Learner_4 | Learner_5 |
|---|---|---|---|---|---|
| PEER_PRESSURE | 2.09855 | 1.97751 | 2.10596 | 2.24214 | 2.11845 |
| ALLERGY | 1.71851 | 1.8115 | 1.80494 | 1.6434 | 1.99987 |
| CHRONIC DISEASE | 1.87657 | 1.63242 | 1.72145 | 1.71654 | 1.80335 |
| YELLOW_FINGERS | 1.60769 | 1.59401 | 1.57961 | 1.70178 | 1.69653 |
| SWALLOWING DIFFICULTY | 1.54115 | 1.39416 | 1.52935 | 1.57504 | 1.50732 |
| COUGHING | 1.6269 | 1.44695 | 1.61924 | 1.30983 | 1.45889 |
| WHEEZING | 1.39098 | 1.33944 | 1.35351 | 1.6218 | 1.23305 |
| ALCOHOL CONSUMING | 1.2172 | 1.51097 | 1.01974 | 1.43756 | 1.6208 |
| FATIGUE | 1.22949 | 1.23666 | 1.24562 | 1.05542 | 1.27239 |
| ANXIETY | 0.676465 | 1.11655 | 0.820949 | 1.03973 | 0.927658 |
| CHEST PAIN | 0.451082 | 0.609851 | 0.301484 | 0.389733 | 0.68452 |
| SMOKING | 0.404751 | 0.352542 | 0.398707 | 0.489795 | 0.317827 |
| SHORTNESS OF BREATH | 0.222579 | 0.360146 | 0.254631 | 0.399099 | 0.113896 |
| AGE | -0.0683001 | 0.0651653 | 0.0293103 | -0.0196802 | 0.14053 |
| GENDER | -0.0705105 | -0.180772 | -0.240995 | -0.128562 | 0.147742 |
| intercept | -4.88958 | -5.06286 | -4.78165 | -5.16035 | -5.28215 |
auc
32.5 seconds
| score | threshold | |
|---|---|---|
| logloss | 0.234776 | nan |
| auc | 0.980073 | nan |
| f1 | 0.929032 | 0.527048 |
| accuracy | 0.930131 | 0.579328 |
| precision | 1 | 0.661859 |
| recall | 1 | 0 |
| mcc | 0.863562 | 0.610337 |
| score | threshold | |
|---|---|---|
| logloss | 0.234776 | nan |
| auc | 0.980073 | nan |
| f1 | 0.928889 | 0.579328 |
| accuracy | 0.930131 | 0.579328 |
| precision | 0.945701 | 0.579328 |
| recall | 0.912664 | 0.579328 |
| mcc | 0.860787 | 0.579328 |
| Predicted as 0 | Predicted as 1 | |
|---|---|---|
| Labeled as 0 | 217 | 12 |
| Labeled as 1 | 20 | 209 |
auc
31.9 seconds
| score | threshold | |
|---|---|---|
| logloss | 0.287266 | nan |
| auc | 0.963807 | nan |
| f1 | 0.902386 | 0.594454 |
| accuracy | 0.901747 | 0.594454 |
| precision | 1 | 0.73422 |
| recall | 1 | 0.0325234 |
| mcc | 0.803562 | 0.594454 |
| score | threshold | |
|---|---|---|
| logloss | 0.287266 | nan |
| auc | 0.963807 | nan |
| f1 | 0.902386 | 0.594454 |
| accuracy | 0.901747 | 0.594454 |
| precision | 0.896552 | 0.594454 |
| recall | 0.908297 | 0.594454 |
| mcc | 0.803562 | 0.594454 |
| Predicted as 0 | Predicted as 1 | |
|---|---|---|
| Labeled as 0 | 205 | 24 |
| Labeled as 1 | 21 | 208 |
auc
34.3 seconds
| score | threshold | |
|---|---|---|
| logloss | 0.287379 | nan |
| auc | 0.969623 | nan |
| f1 | 0.913684 | 0.59222 |
| accuracy | 0.91048 | 0.59222 |
| precision | 1 | 0.80151 |
| recall | 1 | 0 |
| mcc | 0.823232 | 0.59222 |
| score | threshold | |
|---|---|---|
| logloss | 0.287379 | nan |
| auc | 0.969623 | nan |
| f1 | 0.913684 | 0.59222 |
| accuracy | 0.91048 | 0.59222 |
| precision | 0.882114 | 0.59222 |
| recall | 0.947598 | 0.59222 |
| mcc | 0.823232 | 0.59222 |
| Predicted as 0 | Predicted as 1 | |
|---|---|---|
| Labeled as 0 | 200 | 29 |
| Labeled as 1 | 12 | 217 |
auc
24.1 seconds
| score | threshold | |
|---|---|---|
| logloss | 0.232964 | nan |
| auc | 0.976917 | nan |
| f1 | 0.944321 | 0.492837 |
| accuracy | 0.945415 | 0.492837 |
| precision | 1 | 0.99338 |
| recall | 1 | 6.41845e-12 |
| mcc | 0.891518 | 0.492837 |
| score | threshold | |
|---|---|---|
| logloss | 0.232964 | nan |
| auc | 0.976917 | nan |
| f1 | 0.944321 | 0.492837 |
| accuracy | 0.945415 | 0.492837 |
| precision | 0.963636 | 0.492837 |
| recall | 0.925764 | 0.492837 |
| mcc | 0.891518 | 0.492837 |
| Predicted as 0 | Predicted as 1 | |
|---|---|---|
| Labeled as 0 | 221 | 8 |
| Labeled as 1 | 17 | 212 |
auc
29.9 seconds
| score | threshold | |
|---|---|---|
| logloss | 0.192402 | nan |
| auc | 0.974066 | nan |
| f1 | 0.944321 | 0.509772 |
| accuracy | 0.945415 | 0.509772 |
| precision | 1 | 0.999026 |
| recall | 1 | 0.000268946 |
| mcc | 0.891518 | 0.509772 |
| score | threshold | |
|---|---|---|
| logloss | 0.192402 | nan |
| auc | 0.974066 | nan |
| f1 | 0.944321 | 0.509772 |
| accuracy | 0.945415 | 0.509772 |
| precision | 0.963636 | 0.509772 |
| recall | 0.925764 | 0.509772 |
| mcc | 0.891518 | 0.509772 |
| Predicted as 0 | Predicted as 1 | |
|---|---|---|
| Labeled as 0 | 221 | 8 |
| Labeled as 1 | 17 | 212 |
auc
28.0 seconds
| score | threshold | |
|---|---|---|
| logloss | 0.244839 | nan |
| auc | 0.966877 | nan |
| f1 | 0.938865 | 0.505872 |
| accuracy | 0.938865 | 0.505872 |
| precision | 1 | 0.991168 |
| recall | 1 | 4.76261e-06 |
| mcc | 0.877863 | 0.551479 |
| score | threshold | |
|---|---|---|
| logloss | 0.244839 | nan |
| auc | 0.966877 | nan |
| f1 | 0.938865 | 0.505872 |
| accuracy | 0.938865 | 0.505872 |
| precision | 0.938865 | 0.505872 |
| recall | 0.938865 | 0.505872 |
| mcc | 0.877729 | 0.505872 |
| Predicted as 0 | Predicted as 1 | |
|---|---|---|
| Labeled as 0 | 215 | 14 |
| Labeled as 1 | 14 | 215 |
auc
24.8 seconds
| score | threshold | |
|---|---|---|
| logloss | 0.190663 | nan |
| auc | 0.979119 | nan |
| f1 | 0.947598 | 0.46477 |
| accuracy | 0.947598 | 0.46477 |
| precision | 1 | 0.999892 |
| recall | 1 | 4.76882e-06 |
| mcc | 0.895197 | 0.46477 |
| score | threshold | |
|---|---|---|
| logloss | 0.190663 | nan |
| auc | 0.979119 | nan |
| f1 | 0.947598 | 0.46477 |
| accuracy | 0.947598 | 0.46477 |
| precision | 0.947598 | 0.46477 |
| recall | 0.947598 | 0.46477 |
| mcc | 0.895197 | 0.46477 |
| Predicted as 0 | Predicted as 1 | |
|---|---|---|
| Labeled as 0 | 217 | 12 |
| Labeled as 1 | 12 | 217 |
auc
33.1 seconds
| score | threshold | |
|---|---|---|
| logloss | 0.329685 | nan |
| auc | 0.978795 | nan |
| f1 | 0.95671 | 0.457538 |
| accuracy | 0.956332 | 0.457538 |
| precision | 1 | 0.860599 |
| recall | 1 | 0.00718024 |
| mcc | 0.913221 | 0.505393 |
| score | threshold | |
|---|---|---|
| logloss | 0.329685 | nan |
| auc | 0.978795 | nan |
| f1 | 0.95671 | 0.457538 |
| accuracy | 0.956332 | 0.457538 |
| precision | 0.948498 | 0.457538 |
| recall | 0.965066 | 0.457538 |
| mcc | 0.912803 | 0.457538 |
| Predicted as 0 | Predicted as 1 | |
|---|---|---|
| Labeled as 0 | 217 | 12 |
| Labeled as 1 | 8 | 221 |
auc
29.1 seconds
| score | threshold | |
|---|---|---|
| logloss | 0.414974 | nan |
| auc | 0.989007 | nan |
| f1 | 0.969298 | 0.478908 |
| accuracy | 0.969432 | 0.478908 |
| precision | 1 | 0.604072 |
| recall | 1 | 0.100235 |
| mcc | 0.939008 | 0.484481 |
| score | threshold | |
|---|---|---|
| logloss | 0.414974 | nan |
| auc | 0.989007 | nan |
| f1 | 0.969298 | 0.478908 |
| accuracy | 0.969432 | 0.478908 |
| precision | 0.973568 | 0.478908 |
| recall | 0.965066 | 0.478908 |
| mcc | 0.9389 | 0.478908 |
| Predicted as 0 | Predicted as 1 | |
|---|---|---|
| Labeled as 0 | 223 | 6 |
| Labeled as 1 | 8 | 221 |
auc
26.0 seconds
| score | threshold | |
|---|---|---|
| logloss | 0.164462 | nan |
| auc | 0.981675 | nan |
| f1 | 0.956522 | 0.361882 |
| accuracy | 0.956332 | 0.361882 |
| precision | 1 | 0.9133 |
| recall | 1 | 0.00146918 |
| mcc | 0.912803 | 0.407268 |
| score | threshold | |
|---|---|---|
| logloss | 0.164462 | nan |
| auc | 0.981675 | nan |
| f1 | 0.956522 | 0.361882 |
| accuracy | 0.956332 | 0.361882 |
| precision | 0.952381 | 0.361882 |
| recall | 0.960699 | 0.361882 |
| mcc | 0.912699 | 0.361882 |
| Predicted as 0 | Predicted as 1 | |
|---|---|---|
| Labeled as 0 | 218 | 11 |
| Labeled as 1 | 9 | 220 |
auc
27.5 seconds
| score | threshold | |
|---|---|---|
| logloss | 0.204195 | nan |
| auc | 0.979291 | nan |
| f1 | 0.955947 | 0.487291 |
| accuracy | 0.956332 | 0.487291 |
| precision | 1 | 0.913798 |
| recall | 1 | 0.000282286 |
| mcc | 0.912803 | 0.487291 |
| score | threshold | |
|---|---|---|
| logloss | 0.204195 | nan |
| auc | 0.979291 | nan |
| f1 | 0.955947 | 0.487291 |
| accuracy | 0.956332 | 0.487291 |
| precision | 0.964444 | 0.487291 |
| recall | 0.947598 | 0.487291 |
| mcc | 0.912803 | 0.487291 |
| Predicted as 0 | Predicted as 1 | |
|---|---|---|
| Labeled as 0 | 221 | 8 |
| Labeled as 1 | 12 | 217 |
auc
25.2 seconds
| score | threshold | |
|---|---|---|
| logloss | 0.157187 | nan |
| auc | 0.986966 | nan |
| f1 | 0.956332 | 0.368843 |
| accuracy | 0.956332 | 0.368843 |
| precision | 1 | 0.862884 |
| recall | 1 | 0.00186637 |
| mcc | 0.912803 | 0.437405 |
| score | threshold | |
|---|---|---|
| logloss | 0.157187 | nan |
| auc | 0.986966 | nan |
| f1 | 0.956332 | 0.368843 |
| accuracy | 0.956332 | 0.368843 |
| precision | 0.956332 | 0.368843 |
| recall | 0.956332 | 0.368843 |
| mcc | 0.912664 | 0.368843 |
| Predicted as 0 | Predicted as 1 | |
|---|---|---|
| Labeled as 0 | 219 | 10 |
| Labeled as 1 | 10 | 219 |
auc
27.2 seconds
| score | threshold | |
|---|---|---|
| logloss | 0.193155 | nan |
| auc | 0.983591 | nan |
| f1 | 0.956332 | 0.474051 |
| accuracy | 0.956332 | 0.474051 |
| precision | 1 | 0.903664 |
| recall | 1 | 0.0198381 |
| mcc | 0.912664 | 0.474051 |
| score | threshold | |
|---|---|---|
| logloss | 0.193155 | nan |
| auc | 0.983591 | nan |
| f1 | 0.956332 | 0.474051 |
| accuracy | 0.956332 | 0.474051 |
| precision | 0.956332 | 0.474051 |
| recall | 0.956332 | 0.474051 |
| mcc | 0.912664 | 0.474051 |
| Predicted as 0 | Predicted as 1 | |
|---|---|---|
| Labeled as 0 | 219 | 10 |
| Labeled as 1 | 10 | 219 |
auc
28.6 seconds
| score | threshold | |
|---|---|---|
| logloss | 0.242589 | nan |
| auc | 0.98014 | nan |
| f1 | 0.945946 | 0.579601 |
| accuracy | 0.947598 | 0.579601 |
| precision | 1 | 0.783775 |
| recall | 1 | 0.0117756 |
| mcc | 0.896874 | 0.579601 |
| score | threshold | |
|---|---|---|
| logloss | 0.242589 | nan |
| auc | 0.98014 | nan |
| f1 | 0.945946 | 0.579601 |
| accuracy | 0.947598 | 0.579601 |
| precision | 0.976744 | 0.579601 |
| recall | 0.917031 | 0.579601 |
| mcc | 0.896874 | 0.579601 |
| Predicted as 0 | Predicted as 1 | |
|---|---|---|
| Labeled as 0 | 224 | 5 |
| Labeled as 1 | 19 | 210 |
auc
24.3 seconds
| score | threshold | |
|---|---|---|
| logloss | 0.224591 | nan |
| auc | 0.982275 | nan |
| f1 | 0.956332 | 0.486919 |
| accuracy | 0.956332 | 0.486919 |
| precision | 1 | 0.824257 |
| recall | 1 | 0.000316717 |
| mcc | 0.913221 | 0.527515 |
| score | threshold | |
|---|---|---|
| logloss | 0.224591 | nan |
| auc | 0.982275 | nan |
| f1 | 0.956332 | 0.486919 |
| accuracy | 0.956332 | 0.486919 |
| precision | 0.956332 | 0.486919 |
| recall | 0.956332 | 0.486919 |
| mcc | 0.912664 | 0.486919 |
| Predicted as 0 | Predicted as 1 | |
|---|---|---|
| Labeled as 0 | 219 | 10 |
| Labeled as 1 | 10 | 219 |
auc
24.6 seconds
| score | threshold | |
|---|---|---|
| logloss | 0.200515 | nan |
| auc | 0.982628 | nan |
| f1 | 0.960699 | 0.469438 |
| accuracy | 0.960699 | 0.469438 |
| precision | 1 | 0.925408 |
| recall | 1 | 0.000141272 |
| mcc | 0.921397 | 0.469438 |
| score | threshold | |
|---|---|---|
| logloss | 0.200515 | nan |
| auc | 0.982628 | nan |
| f1 | 0.960699 | 0.469438 |
| accuracy | 0.960699 | 0.469438 |
| precision | 0.960699 | 0.469438 |
| recall | 0.960699 | 0.469438 |
| mcc | 0.921397 | 0.469438 |
| Predicted as 0 | Predicted as 1 | |
|---|---|---|
| Labeled as 0 | 220 | 9 |
| Labeled as 1 | 9 | 220 |
auc
24.7 seconds
| score | threshold | |
|---|---|---|
| logloss | 0.185302 | nan |
| auc | 0.981865 | nan |
| f1 | 0.951965 | 0.458253 |
| accuracy | 0.951965 | 0.458253 |
| precision | 1 | 0.921568 |
| recall | 1 | 0.00311882 |
| mcc | 0.904068 | 0.503278 |
| score | threshold | |
|---|---|---|
| logloss | 0.185302 | nan |
| auc | 0.981865 | nan |
| f1 | 0.951965 | 0.458253 |
| accuracy | 0.951965 | 0.458253 |
| precision | 0.951965 | 0.458253 |
| recall | 0.951965 | 0.458253 |
| mcc | 0.90393 | 0.458253 |
| Predicted as 0 | Predicted as 1 | |
|---|---|---|
| Labeled as 0 | 218 | 11 |
| Labeled as 1 | 11 | 218 |
auc
24.5 seconds
| score | threshold | |
|---|---|---|
| logloss | 0.19414 | nan |
| auc | 0.980979 | nan |
| f1 | 0.951327 | 0.533745 |
| accuracy | 0.951965 | 0.533745 |
| precision | 1 | 0.913974 |
| recall | 1 | 0.00207946 |
| mcc | 0.904241 | 0.533745 |
| score | threshold | |
|---|---|---|
| logloss | 0.19414 | nan |
| auc | 0.980979 | nan |
| f1 | 0.951327 | 0.533745 |
| accuracy | 0.951965 | 0.533745 |
| precision | 0.964126 | 0.533745 |
| recall | 0.938865 | 0.533745 |
| mcc | 0.904241 | 0.533745 |
| Predicted as 0 | Predicted as 1 | |
|---|---|---|
| Labeled as 0 | 221 | 8 |
| Labeled as 1 | 14 | 215 |
auc
28.3 seconds
| score | threshold | |
|---|---|---|
| logloss | 0.208765 | nan |
| auc | 0.983944 | nan |
| f1 | 0.954955 | 0.574657 |
| accuracy | 0.956332 | 0.574657 |
| precision | 1 | 0.784506 |
| recall | 1 | 0 |
| mcc | 0.914374 | 0.574657 |
| score | threshold | |
|---|---|---|
| logloss | 0.208765 | nan |
| auc | 0.983944 | nan |
| f1 | 0.954955 | 0.574657 |
| accuracy | 0.956332 | 0.574657 |
| precision | 0.986047 | 0.574657 |
| recall | 0.925764 | 0.574657 |
| mcc | 0.914374 | 0.574657 |
| Predicted as 0 | Predicted as 1 | |
|---|---|---|
| Labeled as 0 | 226 | 3 |
| Labeled as 1 | 17 | 212 |
auc
27.8 seconds
| score | threshold | |
|---|---|---|
| logloss | 0.271403 | nan |
| auc | 0.97604 | nan |
| f1 | 0.926503 | 0.634839 |
| accuracy | 0.927948 | 0.634839 |
| precision | 1 | 0.737667 |
| recall | 1 | 0 |
| mcc | 0.856557 | 0.634839 |
| score | threshold | |
|---|---|---|
| logloss | 0.271403 | nan |
| auc | 0.97604 | nan |
| f1 | 0.926503 | 0.634839 |
| accuracy | 0.927948 | 0.634839 |
| precision | 0.945455 | 0.634839 |
| recall | 0.908297 | 0.634839 |
| mcc | 0.856557 | 0.634839 |
| Predicted as 0 | Predicted as 1 | |
|---|---|---|
| Labeled as 0 | 217 | 12 |
| Labeled as 1 | 21 | 208 |
auc
24.1 seconds
| score | threshold | |
|---|---|---|
| logloss | 0.24037 | nan |
| auc | 0.973742 | nan |
| f1 | 0.926407 | 0.540293 |
| accuracy | 0.925764 | 0.540293 |
| precision | 1 | 0.983783 |
| recall | 1 | 1.60164e-05 |
| mcc | 0.851658 | 0.540293 |
| score | threshold | |
|---|---|---|
| logloss | 0.24037 | nan |
| auc | 0.973742 | nan |
| f1 | 0.926407 | 0.540293 |
| accuracy | 0.925764 | 0.540293 |
| precision | 0.918455 | 0.540293 |
| recall | 0.934498 | 0.540293 |
| mcc | 0.851658 | 0.540293 |
| Predicted as 0 | Predicted as 1 | |
|---|---|---|
| Labeled as 0 | 210 | 19 |
| Labeled as 1 | 15 | 214 |
auc
26.0 seconds
| score | threshold | |
|---|---|---|
| logloss | 0.229784 | nan |
| auc | 0.973694 | nan |
| f1 | 0.955947 | 0.387624 |
| accuracy | 0.956332 | 0.387624 |
| precision | 1 | 0.90671 |
| recall | 1 | 0.000912171 |
| mcc | 0.913221 | 0.499458 |
| score | threshold | |
|---|---|---|
| logloss | 0.229784 | nan |
| auc | 0.973694 | nan |
| f1 | 0.955947 | 0.387624 |
| accuracy | 0.956332 | 0.387624 |
| precision | 0.964444 | 0.387624 |
| recall | 0.947598 | 0.387624 |
| mcc | 0.912803 | 0.387624 |
| Predicted as 0 | Predicted as 1 | |
|---|---|---|
| Labeled as 0 | 221 | 8 |
| Labeled as 1 | 12 | 217 |
auc
24.4 seconds
| score | threshold | |
|---|---|---|
| logloss | 0.231553 | nan |
| auc | 0.974829 | nan |
| f1 | 0.943231 | 0.629602 |
| accuracy | 0.943231 | 0.629602 |
| precision | 1 | 0.999927 |
| recall | 1 | 1.97928e-06 |
| mcc | 0.886463 | 0.629602 |
| score | threshold | |
|---|---|---|
| logloss | 0.231553 | nan |
| auc | 0.974829 | nan |
| f1 | 0.943231 | 0.629602 |
| accuracy | 0.943231 | 0.629602 |
| precision | 0.943231 | 0.629602 |
| recall | 0.943231 | 0.629602 |
| mcc | 0.886463 | 0.629602 |
| Predicted as 0 | Predicted as 1 | |
|---|---|---|
| Labeled as 0 | 216 | 13 |
| Labeled as 1 | 13 | 216 |
auc
24.6 seconds
| score | threshold | |
|---|---|---|
| logloss | 0.248252 | nan |
| auc | 0.977212 | nan |
| f1 | 0.956332 | 0.377741 |
| accuracy | 0.956332 | 0.377741 |
| precision | 1 | 0.860453 |
| recall | 1 | 0.000912171 |
| mcc | 0.913221 | 0.532942 |
| score | threshold | |
|---|---|---|
| logloss | 0.248252 | nan |
| auc | 0.977212 | nan |
| f1 | 0.956332 | 0.377741 |
| accuracy | 0.956332 | 0.377741 |
| precision | 0.956332 | 0.377741 |
| recall | 0.956332 | 0.377741 |
| mcc | 0.912664 | 0.377741 |
| Predicted as 0 | Predicted as 1 | |
|---|---|---|
| Labeled as 0 | 219 | 10 |
| Labeled as 1 | 10 | 219 |
auc
24.3 seconds
| score | threshold | |
|---|---|---|
| logloss | 0.217621 | nan |
| auc | 0.982113 | nan |
| f1 | 0.946188 | 0.587071 |
| accuracy | 0.947598 | 0.587071 |
| precision | 1 | 0.849827 |
| recall | 1 | 0.0153814 |
| mcc | 0.89739 | 0.592292 |
| score | threshold | |
|---|---|---|
| logloss | 0.217621 | nan |
| auc | 0.982113 | nan |
| f1 | 0.946188 | 0.587071 |
| accuracy | 0.947598 | 0.587071 |
| precision | 0.97235 | 0.587071 |
| recall | 0.921397 | 0.587071 |
| mcc | 0.896428 | 0.587071 |
| Predicted as 0 | Predicted as 1 | |
|---|---|---|
| Labeled as 0 | 223 | 6 |
| Labeled as 1 | 18 | 211 |
auc
24.5 seconds
| score | threshold | |
|---|---|---|
| logloss | 0.170013 | nan |
| auc | 0.982418 | nan |
| f1 | 0.941704 | 0.624584 |
| accuracy | 0.943231 | 0.624584 |
| precision | 1 | 0.99965 |
| recall | 1 | 4.58067e-09 |
| mcc | 0.887682 | 0.624584 |
| score | threshold | |
|---|---|---|
| logloss | 0.170013 | nan |
| auc | 0.982418 | nan |
| f1 | 0.941704 | 0.624584 |
| accuracy | 0.943231 | 0.624584 |
| precision | 0.967742 | 0.624584 |
| recall | 0.917031 | 0.624584 |
| mcc | 0.887682 | 0.624584 |
| Predicted as 0 | Predicted as 1 | |
|---|---|---|
| Labeled as 0 | 222 | 7 |
| Labeled as 1 | 19 | 210 |
auc
24.9 seconds
| score | threshold | |
|---|---|---|
| logloss | 0.354225 | nan |
| auc | 0.980674 | nan |
| f1 | 0.965066 | 0.484342 |
| accuracy | 0.965066 | 0.484342 |
| precision | 1 | 0.834341 |
| recall | 1 | 0.0191711 |
| mcc | 0.930131 | 0.484342 |
| score | threshold | |
|---|---|---|
| logloss | 0.354225 | nan |
| auc | 0.980674 | nan |
| f1 | 0.965066 | 0.484342 |
| accuracy | 0.965066 | 0.484342 |
| precision | 0.965066 | 0.484342 |
| recall | 0.965066 | 0.484342 |
| mcc | 0.930131 | 0.484342 |
| Predicted as 0 | Predicted as 1 | |
|---|---|---|
| Labeled as 0 | 221 | 8 |
| Labeled as 1 | 8 | 221 |
auc
26.0 seconds
| score | threshold | |
|---|---|---|
| logloss | 0.328034 | nan |
| auc | 0.989035 | nan |
| f1 | 0.965217 | 0.453659 |
| accuracy | 0.965066 | 0.453659 |
| precision | 1 | 0.645308 |
| recall | 1 | 0.0526449 |
| mcc | 0.930166 | 0.453659 |
| score | threshold | |
|---|---|---|
| logloss | 0.328034 | nan |
| auc | 0.989035 | nan |
| f1 | 0.965217 | 0.453659 |
| accuracy | 0.965066 | 0.453659 |
| precision | 0.961039 | 0.453659 |
| recall | 0.969432 | 0.453659 |
| mcc | 0.930166 | 0.453659 |
| Predicted as 0 | Predicted as 1 | |
|---|---|---|
| Labeled as 0 | 220 | 9 |
| Labeled as 1 | 7 | 222 |
auc
27.4 seconds
| score | threshold | |
|---|---|---|
| logloss | 0.337408 | nan |
| auc | 0.977537 | nan |
| f1 | 0.956332 | 0.459674 |
| accuracy | 0.956332 | 0.459674 |
| precision | 1 | 0.720416 |
| recall | 1 | 0.00802919 |
| mcc | 0.913221 | 0.494822 |
| score | threshold | |
|---|---|---|
| logloss | 0.337408 | nan |
| auc | 0.977537 | nan |
| f1 | 0.956332 | 0.459674 |
| accuracy | 0.956332 | 0.459674 |
| precision | 0.956332 | 0.459674 |
| recall | 0.956332 | 0.459674 |
| mcc | 0.912664 | 0.459674 |
| Predicted as 0 | Predicted as 1 | |
|---|---|---|
| Labeled as 0 | 219 | 10 |
| Labeled as 1 | 10 | 219 |
auc
26.5 seconds
| score | threshold | |
|---|---|---|
| logloss | 0.230443 | nan |
| auc | 0.986251 | nan |
| f1 | 0.965066 | 0.405736 |
| accuracy | 0.965066 | 0.405736 |
| precision | 1 | 0.752827 |
| recall | 1 | 0.000565603 |
| mcc | 0.930131 | 0.405736 |
| score | threshold | |
|---|---|---|
| logloss | 0.230443 | nan |
| auc | 0.986251 | nan |
| f1 | 0.965066 | 0.405736 |
| accuracy | 0.965066 | 0.405736 |
| precision | 0.965066 | 0.405736 |
| recall | 0.965066 | 0.405736 |
| mcc | 0.930131 | 0.405736 |
| Predicted as 0 | Predicted as 1 | |
|---|---|---|
| Labeled as 0 | 221 | 8 |
| Labeled as 1 | 8 | 221 |
auc
30.0 seconds
| score | threshold | |
|---|---|---|
| logloss | 0.211461 | nan |
| auc | 0.983372 | nan |
| f1 | 0.947137 | 0.527834 |
| accuracy | 0.947598 | 0.527834 |
| precision | 1 | 0.84045 |
| recall | 1 | 0.013098 |
| mcc | 0.895333 | 0.527834 |
| score | threshold | |
|---|---|---|
| logloss | 0.211461 | nan |
| auc | 0.983372 | nan |
| f1 | 0.947137 | 0.527834 |
| accuracy | 0.947598 | 0.527834 |
| precision | 0.955556 | 0.527834 |
| recall | 0.938865 | 0.527834 |
| mcc | 0.895333 | 0.527834 |
| Predicted as 0 | Predicted as 1 | |
|---|---|---|
| Labeled as 0 | 219 | 10 |
| Labeled as 1 | 14 | 215 |
auc
27.9 seconds
| score | threshold | |
|---|---|---|
| logloss | 0.15963 | nan |
| auc | 0.985145 | nan |
| f1 | 0.960699 | 0.318487 |
| accuracy | 0.960699 | 0.318487 |
| precision | 1 | 0.947373 |
| recall | 1 | 0.00244703 |
| mcc | 0.921538 | 0.528833 |
| score | threshold | |
|---|---|---|
| logloss | 0.15963 | nan |
| auc | 0.985145 | nan |
| f1 | 0.960699 | 0.318487 |
| accuracy | 0.960699 | 0.318487 |
| precision | 0.960699 | 0.318487 |
| recall | 0.960699 | 0.318487 |
| mcc | 0.921397 | 0.318487 |
| Predicted as 0 | Predicted as 1 | |
|---|---|---|
| Labeled as 0 | 220 | 9 |
| Labeled as 1 | 9 | 220 |
auc
31.0 seconds
| score | threshold | |
|---|---|---|
| logloss | 0.143747 | nan |
| auc | 0.986251 | nan |
| f1 | 0.969565 | 0.394378 |
| accuracy | 0.969432 | 0.394378 |
| precision | 1 | 0.95673 |
| recall | 1 | 0.00051573 |
| mcc | 0.9389 | 0.394378 |
| score | threshold | |
|---|---|---|
| logloss | 0.143747 | nan |
| auc | 0.986251 | nan |
| f1 | 0.969565 | 0.394378 |
| accuracy | 0.969432 | 0.394378 |
| precision | 0.965368 | 0.394378 |
| recall | 0.973799 | 0.394378 |
| mcc | 0.9389 | 0.394378 |
| Predicted as 0 | Predicted as 1 | |
|---|---|---|
| Labeled as 0 | 221 | 8 |
| Labeled as 1 | 6 | 223 |
auc
24.4 seconds
| score | threshold | |
|---|---|---|
| logloss | 0.261498 | nan |
| auc | 0.969814 | nan |
| f1 | 0.942731 | 0.422963 |
| accuracy | 0.943231 | 0.422963 |
| precision | 1 | 0.999584 |
| recall | 1 | 2.82294e-13 |
| mcc | 0.886598 | 0.422963 |
| score | threshold | |
|---|---|---|
| logloss | 0.261498 | nan |
| auc | 0.969814 | nan |
| f1 | 0.942731 | 0.422963 |
| accuracy | 0.943231 | 0.422963 |
| precision | 0.951111 | 0.422963 |
| recall | 0.934498 | 0.422963 |
| mcc | 0.886598 | 0.422963 |
| Predicted as 0 | Predicted as 1 | |
|---|---|---|
| Labeled as 0 | 218 | 11 |
| Labeled as 1 | 15 | 214 |
auc
33.7 seconds
| score | threshold | |
|---|---|---|
| logloss | 0.24406 | nan |
| auc | 0.973103 | nan |
| f1 | 0.927152 | 0.533695 |
| accuracy | 0.927948 | 0.533695 |
| precision | 1 | 0.789259 |
| recall | 1 | 0.00924381 |
| mcc | 0.856099 | 0.533695 |
| score | threshold | |
|---|---|---|
| logloss | 0.24406 | nan |
| auc | 0.973103 | nan |
| f1 | 0.927152 | 0.533695 |
| accuracy | 0.927948 | 0.533695 |
| precision | 0.9375 | 0.533695 |
| recall | 0.917031 | 0.533695 |
| mcc | 0.856099 | 0.533695 |
| Predicted as 0 | Predicted as 1 | |
|---|---|---|
| Labeled as 0 | 215 | 14 |
| Labeled as 1 | 19 | 210 |
auc
33.2 seconds
| score | threshold | |
|---|---|---|
| logloss | 0.231259 | nan |
| auc | 0.977909 | nan |
| f1 | 0.944206 | 0.446865 |
| accuracy | 0.943231 | 0.446865 |
| precision | 1 | 0.914193 |
| recall | 1 | 0.00285144 |
| mcc | 0.887004 | 0.446865 |
| score | threshold | |
|---|---|---|
| logloss | 0.231259 | nan |
| auc | 0.977909 | nan |
| f1 | 0.944206 | 0.446865 |
| accuracy | 0.943231 | 0.446865 |
| precision | 0.92827 | 0.446865 |
| recall | 0.960699 | 0.446865 |
| mcc | 0.887004 | 0.446865 |
| Predicted as 0 | Predicted as 1 | |
|---|---|---|
| Labeled as 0 | 212 | 17 |
| Labeled as 1 | 9 | 220 |
auc
28.2 seconds
| score | threshold | |
|---|---|---|
| logloss | 0.223576 | nan |
| auc | 0.974095 | nan |
| f1 | 0.955947 | 0.513647 |
| accuracy | 0.956332 | 0.513647 |
| precision | 1 | 0.875885 |
| recall | 1 | 0.000621553 |
| mcc | 0.913221 | 0.560704 |
| score | threshold | |
|---|---|---|
| logloss | 0.223576 | nan |
| auc | 0.974095 | nan |
| f1 | 0.955947 | 0.513647 |
| accuracy | 0.956332 | 0.513647 |
| precision | 0.964444 | 0.513647 |
| recall | 0.947598 | 0.513647 |
| mcc | 0.912803 | 0.513647 |
| Predicted as 0 | Predicted as 1 | |
|---|---|---|
| Labeled as 0 | 221 | 8 |
| Labeled as 1 | 12 | 217 |
auc
26.1 seconds
| score | threshold | |
|---|---|---|
| logloss | 0.395501 | nan |
| auc | 0.92502 | nan |
| f1 | 0.886463 | 0.492004 |
| accuracy | 0.886463 | 0.492004 |
| precision | 0.952941 | 0.795436 |
| recall | 1 | 0.0838541 |
| mcc | 0.772926 | 0.492004 |
| score | threshold | |
|---|---|---|
| logloss | 0.395501 | nan |
| auc | 0.92502 | nan |
| f1 | 0.886463 | 0.492004 |
| accuracy | 0.886463 | 0.492004 |
| precision | 0.886463 | 0.492004 |
| recall | 0.886463 | 0.492004 |
| mcc | 0.772926 | 0.492004 |
| Predicted as 0 | Predicted as 1 | |
|---|---|---|
| Labeled as 0 | 203 | 26 |
| Labeled as 1 | 26 | 203 |
| Model | Weight |
|---|---|
| 10_Xgboost | 38 |
| 14_LightGBM | 1 |
| 18_CatBoost_GoldenFeatures | 1 |
| 30_CatBoost_GoldenFeatures | 1 |
| 45_CatBoost | 5 |
| 4_Default_CatBoost_GoldenFeatures | 1 |
| 5_Default_NeuralNetwork | 2 |
| score | threshold | |
|---|---|---|
| logloss | 0.558281 | nan |
| auc | 0.992048 | nan |
| f1 | 0.965665 | 0.457701 |
| accuracy | 0.965066 | 0.457701 |
| precision | 1 | 0.555966 |
| recall | 1 | 0.363202 |
| mcc | 0.930699 | 0.457701 |
| score | threshold | |
|---|---|---|
| logloss | 0.558281 | nan |
| auc | 0.992048 | nan |
| f1 | 0.965665 | 0.457701 |
| accuracy | 0.965066 | 0.457701 |
| precision | 0.949367 | 0.457701 |
| recall | 0.982533 | 0.457701 |
| mcc | 0.930699 | 0.457701 |
| Predicted as 0 | Predicted as 1 | |
|---|---|---|
| Labeled as 0 | 217 | 12 |
| Labeled as 1 | 4 | 225 |